午夜探花

Institute of Artificial Intelligence

Alexander Lodemann

________Alexander Lodemann________
_________
____________________Alexander__________Lodemann_________
________
_______
____________
________
__Scientific Staff_
____
__
University of Ulm
__Institute of Artificial Intelligence
__James-Franck-Ring
_____
____89081____Ulm___
_______
__
_____
________Email:____ www: Alexander Lodemann
Room: O27 445

Alexander Lodemann

I joined the Institute for Artificial Intelligence as a research assistant and PhD student in March 2025. 
My doctoral research in the Research Training Group is in the field of AI planning, with a particular focus on domain learning. My work is supervised by Prof. Dr. Birte Glimm and Prof. Dr. Ambros J. Beer.

Further Information

  • AI planning
  • Domain modelling support
  • Domain learning
  • Hierarchical Planning

  • SoSe 25 : Guest lecturer for the lecture 禄AI Planning芦
  • WiSe 19/20 : Tutor for the lecture 禄Formale Grundlagen芦

  • 2020: Participation in the iGEM competition (Team iGEM_UUlm) - bronze medal

Publications

2025

3.
C. Olz, A. Lodemann, B. Jutz, M. Schmautz, M. Borowiec, S. Biundo and P. Bercher, "An Extensive Empirical Evaluation of Inferring Preconditions and Effects of Compound Tasks in Ground HTN Planning Problems", Journal of Artificial Intelligence Research, vol. 82, pp. 1407-1444, Mar. 2025. .
DOI:
File:

2024

2.
C. Olz, A. Lodemann and P. Bercher, "A Heuristic for Optimal Total-Order HTN Planning Based on Integer Linear Programming" in Proceedings of the 27th European Conference on Artificial Intelligence (ECAI 2024), IOS Press, 2024, pp. 4303--4310.
DOI:
File:/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2024/Olz24ILP.pdf
1.
C. Olz, A. Lodemann and P. Bercher, "An ILP Heuristic for Total-Order HTN Planning" in Proceedings of the 7th ICAPS Workshop on Hierarchical Planning (HPlan 2024), 2024.